Social aspects · accountability transparency and interpretability papers, 2023–2026

Key findings

• Social aspects · accountability transparency and interpretability went from 301 papers in 2023 to 1,357 in 2026, roughly 4.5x in three years.
• NeurIPS publishes the most Social aspects · accountability transparency and interpretability work: 1,275 papers from 2023 to 2026, 37% of the four-venue total.
• The fastest-growing overlap is with Social aspects · privacy: papers tagged with both rose from 0 in 2023 to 93 in 2026.
• Among the 5 topics under Alignment and Responsible AI, it ranks #2 by 2026 paper count; the fastest grower in the group, Social aspects · safety, is up 93x versus 4.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Unifying Perspective on Language Model Interpretability
• ICML 2026$\texttt{PRISM}$:A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
• ICLR 2026Automated Interpretability Metrics Do Not Distinguish Trained and Random Transformers
• CVPR 2026Beyond Matching to Tiles Bridging Unaligned Aerial and Satellite Views
• NeurIPS 2025$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
• ICML 2025(How) Can Transformers Predict Pseudo-Random Numbers?
• ICLR 2025Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers
• CVPR 2025Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
• NeurIPS 20242D-OOB: Attributing Data Contribution Through Joint Valuation Framework
• ICML 2024Attention Meets Post-hoc Interpretability: A Mathematical Perspective
• ICLR 2024"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
• CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
• NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
• ICML 2023A Modern Look at the Relationship between Sharpness and Generalization
• ICLR 2023Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
• CVPR 2023Analyzing and Diagnosing Pose Estimation With Attributions
• NeurIPS 2026AdKnob: Ad Intensity Control and Labeling for LLM-Native Advertising
• ICML 2026$\texttt{ShaplEIG}$: Bayesian Experimental Design for Shapley Value Estimation
• ICLR 2026Bandits with Single-Peaked Preferences and Limited Resources
• CVPR 2026IEBGLAn Interpretability-Enhanced Brain Graph Learning Framework with LLM-Instructed Topology and

All Social aspects · accountability transparency and interpretability papers

1,124 papers, page 10 of 23

451. ICML 2026Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
452. ICML 2026SteeringSafety: Benchmarking Representation Steering in LLMs Across Safety Perspectives
453. ICML 2026Structured Multi-step Jailbreaking under a Hamiltonian Generative Formulation
454. ICML 2026SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models
455. ICML 2026SVD as a Fast Interpretability Method for Transformers
456. ICML 2026Symbal: Detecting Systematic Misalignments in Model-Generated Captions
457. ICML 2026Symmetries in language statistics shape the geometry of model representations
458. ICML 2026Symmetry Reveals Layerwise Dynamics: How Transformers Perform In-Context Classification
459. ICML 2026Target-Agnostic Calibration under Distribution Shift with Frequency-Aware Gradient Rectification
460. ICML 2026Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability
461. ICML 2026Test-Time Debiasing with Probabilistic Prompts via Wasserstein Distance in Vision-Language Models
462. ICML 2026Textual Supervision Enhances Geospatial Representations in Vision-Language Models
463. ICML 2026The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust
464. ICML 2026The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models
465. ICML 2026The Axiomatic Value of Regularization in AI Alignment from Human Preferences
466. ICML 2026The benefits of full data shuffle, now with optimal I/O cost: $k$-wise independence and matrix transposition to the rescue
467. ICML 2026The Cylindrical Representation Hypothesis for Language Model Steering
468. ICML 2026The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
469. ICML 2026The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level
470. ICML 2026The Forgetting-Retention Dilemma: Certified Unlearning Theory in Continual Learning
471. ICML 2026The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-Modal Divergence
472. ICML 2026The Geometric Origin of Grokking: Accelerating Generalization via Active Structural Reorganization
473. ICML 2026The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning
474. ICML 2026The Hidden Link between RLHF and Contrastive Learning
475. ICML 2026The Information Geometry of Softmax: Probing and Steering
476. ICML 2026The Interplay Between Interpolation and Aggregation in Regression: Optimal Sample Complexity
477. ICML 2026The Latent Guardian: Defending Collaborative Perception via Feature-Level Consistency Verification
478. ICML 2026The Mechanistic Emergence of Symbol Grounding in Language Models
479. ICML 2026The Obfuscation Atlas: Mapping Where Honesty Emerges in RLVR with Deception Probes
480. ICML 2026The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
481. ICML 2026The Realignment Problem: When Right becomes Wrong in LLMs
482. ICML 2026The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models
483. ICML 2026The Structural Origin of Attention Sink: Variance Discrepancy, Super Neurons, and Dimension Disparity
484. ICML 2026The Truth Lies Somewhere in the Middle (of the Generated Tokens)
485. ICML 2026Think Twice Before You Act: Protecting LLM Agents Against Tool Description Poisoning via Isolated Planning
486. ICML 2026This State Looks Like That: Self-Interpretable Reinforcement Learning Agents using Prototype Soft Actor-Critic
487. ICML 2026Three Years of r/ChatGPT: Societal Impact Evaluations from Social Media Data
488. ICML 2026Time series saliency maps: Explaining models across multiple domains
489. ICML 2026TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting
490. ICML 2026Timestep Rescheduling in Diffusion Inversion
491. ICML 2026Token-Efficient Change Detection in LLM APIs
492. ICML 2026Toward Calibrated Mixture-of-Experts Under Distribution Shift
493. ICML 2026Toward Identifiable Sparse Autoencoders
494. ICML 2026Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
495. ICML 2026Toward Stable Value Alignment: Introducing Independent Modules for Consistent Value Guidance
496. ICML 2026Towards Achieving Optimal Strong Regret and Constraint Violation via Computationally Efficient Model-free RL
497. ICML 2026Towards Context-Invariant Safety Alignment for Large Language Models
498. ICML 2026Towards Disentangled Preference Optimization Dynamics: Suppress the Loser, Preserve the Winner
499. ICML 2026Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs
500. ICML 2026Towards Spectroscopy: Susceptibility Clusters in Language Models

FAQ

How many Social aspects · accountability transparency and interpretability papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

3,411 in total: 301 in 2023, 589 in 2024, 1,164 in 2025, 1,357 in 2026.

How many Social aspects · accountability transparency and interpretability papers are at NeurIPS 2026?

NeurIPS 2026 has 416 Social aspects · accountability transparency and interpretability papers, versus 522 the year before.

How many Social aspects · accountability transparency and interpretability papers are at ICLR 2026?

ICLR 2026 has 292 Social aspects · accountability transparency and interpretability papers, versus 211 the year before.

How many Social aspects · accountability transparency and interpretability papers are at ICML 2026?

ICML 2026 has 541 Social aspects · accountability transparency and interpretability papers, versus 337 the year before.

How many Social aspects · accountability transparency and interpretability papers are at CVPR 2026?

CVPR 2026 has 108 Social aspects · accountability transparency and interpretability papers, versus 94 the year before.

Which conference publishes the most Social aspects · accountability transparency and interpretability papers?

NeurIPS, with 1,275 papers from 2023 to 2026.